• Journal of the Korean Society of Safety
• /
• v.36 no.3
• /
• pp.60-65
• /
• 2021

Human error is often in part in the cause of accidents and the result of various factors in an organization. Accidents should be investigated to elucidate all causes. Therefore, to reduce accidents, it is necessary to identify which factors affect human error within the organization. In this study, five groups of influencing factors on human error were selected using previousresearch, and operational definitions were made based on them. In addition, a questionnaire for measuring latent variables by operational definition was developed as an observation variable, and responses were received from employees of chemical companies in Ulsan. Based on SEM (structural equation modeling) analysis, 1) confirmatory factor analysis of variables in the human error model, 2) reliability and validity of latent variables, 3) correlations among latent variables, 4) influencing coefficients among influence factors, and 5) the verification results of the paths that these influencing factors have on human error are introduced in this study.

• East Asian Journal of Business Economics (EAJBE)
• /
• v.9 no.1
• /
• pp.71-81
• /
• 2021

Purpose - This study verified the mediating effect of volunteer activities in the influence of global citizenship consciousness on human rights sensitivity of university students majoring in business administration. Research design, data, and methodology - The survey was conducted on 172 4-year college students in G City, Korea. SPSS 23.0 program was used to perform frequency analysis, descriptive statistics analysis, correlation analysis, reliability analysis, and multiple regression analysis. In addition, path analysis was conducted to confirm the mediating effect of volunteer activities. Result - First, the "justice domain" had a statistically significant effect on human rights sensitivity. Second, the "cognitive domain" had a positive and significant effect on volunteer participation. Third, the volunteer participation of university students majoring in business administration had a positive and significant effect on human rights sensitivity. Fourth, in the relationship between global citizenship consciousness and human rights sensibility of university students, volunteer participation had a partial mediating effect. Conclusion - The period of college enrollment is an important time to establish life goals and strategies as adults. Therefore, if the university environment is built to grow into a healthy global citizen, it will help to cultivate global competence and the "sensitivity to human rights" that is more emphasized in the era of the 4th industrial revolution.

• Journal of Korean Academy of Nursing
• /
• v.36 no.1
• /
• pp.74-83
• /
• 2006

Purpose: The purpose of this study was to develop an evaluation instrument integrated and interdisciplinary death education for the human service areas such as nursing, social welfare, and education and to test the reliability and validity of it. Method: The subjects used to verify the instrument's reliability and validity were 407 students who were enrolled in the departments of nursing, social welfare, and education in universities located in Seoul, Pusan, Daegu, and Daejeon. The data was collected from April to May, 2005, and was analyzed by SPSS/WIN 12. Result: A factor analysis was conducted. Items with over a .40 factor loading and over a 1.0 eigen value were selected. Nine identified factors were learning about death, role of professionals, personal attitudes, hospice care, ethics and legal issues, death and dying, spiritual aspect of' death, transcultural aspect of death, and multidisciplinary theory of death. The instrument consisted of 44 items and the reliability was a cronbach's of .953 Conclusion: Based on the study results, the content scale developed in this study was identified as a tool with a high degree of reliability and validity.

• Transactions of the Korean hydrogen and new energy society
• /
• v.31 no.1
• /
• pp.73-81
• /
• 2020

For the fault tree analysis (FTA) analysis of the packaged hydrogen filling station, the composition of the charging station was analyzed and the fault tree (FT) diagram was prepared. FT diagrams were created by dividing the causes of events into external factors and internal factors with the hydrogen event as the top event. The external factors include the effects of major disasters caused by natural disasters and external factors as OR gates. Internal factors are divided into tube tailer, compressor & storage tank, and dispenser, which are composed of mistakes in operation process and causes of accidents caused by parts leakage. In this study, the purpose was to improve the hydrogen station. The subjects of this study were domestic packaged hydrogen stations and FTA study was conducted based on the previous studies, failure mode & effect analysis (FMEA) and hazard & operability study (HAZOP). Top event as a hydrogen leaking event and constructed the flow of events based on the previous study. Refer to "Off shore and onshore reliability data 6th edition", "European Industry Reliability Data Bank", technique for human error rate prediction (THERP) for reliability data. We hope that this study will help to improve the safety and activation of the hydrogen station.

• Journal of Korean Public Health Nursing
• /
• v.28 no.1
• /
• pp.57-70
• /
• 2014

Purpose: This study is a methodological research study for development of a tool for measurement of care satisfaction of home health nursing in patients who have received care through home health nursing and to test the validity and reliability of the tool. Method: Based on Watson's theory of caring and its constituent factors, the literature related to home health nursing was reviewed, and the standard of home health nursing was compared and analyzed. For verification of the validation and reliability of the final tool which has been developed, data were collected from 166 people who were receiving home health nursing care. Result: According to results of analysis of the factors based on Kaiser and scree test, 10 factors with an eigenvalue greater than 1.0 were extracted, and they explained 72.26% of the total variance. In addition, the factor loadings of 56 questions were greater than .30. For verification of reliability, Cronbach's alpha for all 56 items was .98 and Guttman split half reliability coefficient was .90. Conclusion: This tool based on Watson's theory of caring contributed to development and application of the nursing theory through verification of the theory.

• Smart Structures and Systems
• /
• v.6 no.1
• /
• pp.39-56
• /
• 2010

Structural Control relies, with a great deal, on the ability of the control algorithm to identify the current state of the system, at any given point in time. When such algorithms are designed to perform in a smart manner, several smart technologies/devices are called upon to perform tasks that involve pattern recognition and control. Smart pattern recognition is proposed to replace/enhance traditional state identification techniques, which require the extensive manipulation of intricate mathematical equations. Smart pattern recognition techniques attempt to emulate the behavior of the human brain when performing abstract pattern identification. Since these techniques are largely heuristic in nature, it is reasonable to ensure their reliability under real life situations. In this paper, a neural network pattern recognition scheme is explored. The pattern identification of three structural systems is considered. The first is a single bay three-story frame. Both the second and the third models are variations on benchmark problems, previously published for control strategy evaluation purposes. A Neural Network was developed and trained to identify the deformed shape of structural systems under earthquake excitation. The network was trained, for each individual model system, then tested under the effect of a different set of earthquake records. The proposed smart pattern identification scheme is considered an integral component of a Smart Structural System. The Reliability assessment of such component represents an important stage in the evaluation of an overall reliability measure of Smart Structural Systems. Several studies are currently underway aiming at the identification of a reliability measure for such smart pattern recognition technique.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.52 no.10
• /
• pp.47-55
• /
• 2015

To verify the function of vehicle is becoming more and more difficult because many electronic control units have been embedded in vehicle with development of electronics industry. The reliability of vehicle should be considered above all important because malfunction of vehicle can cause damage of human life. In this paper, defect diagnosis platform based on CAN network is proposed to improve the reliability of vehicle. Reliability of vehicle is significantly increased by adopting the structural test via dedicated test path after manufacturing. Besides, the test cost is reduced because additional test pins are not required.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.8 no.6
• /
• pp.2139-2151
• /
• 2014

Embedded system testing, especially long-term reliability testing, of flash memory solutions such as embedded multi-media card, secure digital card and solid-state drive involves strategic decision making related to test sample size to achieve high test coverage. The test sample size is the number of flash memory devices used in a test. Earlier, there were physical limitations on the testing period and the number of test devices that could be used. Hence, decisions regarding the sample size depended on the experience of human testers owing to the absence of well-defined standards. Moreover, a lack of understanding of the importance of the sample size resulted in field defects due to unexpected user scenarios. In worst cases, users finally detected these defects after several years. In this paper, we propose that a large number of potential field defects can be detected if an adequately large test sample size is used to target weak features during long-term reliability testing of flash memory solutions. In general, a larger test sample size yields better results. However, owing to the limited availability of physical resources, there is a limit on the test sample size that can be used. In this paper, we address this problem by proposing a self-adaptive reliability testing scheme to decide the sample size for effective long-term reliability testing.

• Proceedings of the KIPE Conference
• /
• 2008.06a
• /
• pp.437-439
• /
• 2008

This paper presents the training system of myoelectric hand prosthesis controlling according to myoelectric signal generated in the human muscle. The training system consist of a trainer, a program for training. The experimental results proved the reliability of proposed training system.

• 한국가스학회:학술대회논문집
• /
• 2005.05a
• /
• pp.197-197
• /
• 2005